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We are designing and manufacturing smart wind turbines, smart energy storage systems, and green hydrogen solutions.
Envision is the first in the industry to develop smart turbines that combine advanced control systems, data analysis, active performance control, and reliability prediction capabilities.
Incorporate advanced sensors to measure wind speed, direction, temperature, and other relevant parameters in real-time.
Utilize lidar and other remote sensing technologies for a more accurate assessment of wind conditions at different altitudes.
Implement data analytics and machine learning algorithms to process the vast amount of data collected by sensors.
Predict wind patterns, turbine loads, and potential failures based on historical and real-time data.
Develop adaptive rotor control systems that dynamically adjust the pitch and speed of the rotor blades.
Optimize blade angles based on instantaneous wind conditions to maximize energy capture and minimize loads on the turbine.
Integrate advanced yaw control mechanisms that align the turbine with the prevailing wind direction.
Use predictive algorithms to anticipate wind shifts and adjust yaw angles proactively.
Employ condition monitoring systems to continuously assess the health of critical components such as gearboxes, bearings, and generators.
Implement predictive maintenance models to forecast potential issues, schedule maintenance tasks, and minimize downtime.
Combine energy storage systems with advanced control algorithms to manage the storage and release of surplus energy.
Optimize energy storage based on grid demand, ensuring a stable power supply during peak periods.
Enhance grid integration capabilities to respond to grid signals and contribute to grid stability.
Implement power quality control mechanisms to provide a consistent and reliable power supply.
Establish robust communication systems that allow Envision smart turbines to exchange data with each other and with central control centers.
Facilitate coordination between turbines to optimize overall wind farm performance.
Prioritize cybersecurity to safeguard against potential threats to the control systems and ensure the integrity and reliability of the turbine operations.
Enable remote monitoring and control functionalities, allowing operators to make real-time adjustments to optimize turbine performance and respond to changing conditions.
By combining these advanced control systems, Envision smart wind turbines can operate more efficiently, contribute to grid stability, and adapt to dynamic environmental factors, ultimately maximizing their energy output and lifespan.
Through this ‘digital twin’, our turbines understand real-time status down to the component level, and a deep understanding of environmental conditions. This ‘software defined’ approach extends from design through deployment, resulting in a turbine with increased effectiveness and longer service life.
A digital twin in the context of wind turbines refers to a virtual replica or representation of a physical wind turbine and its associated systems. This digital twin is created by integrating real-time data, advanced sensors, and computational models to simulate and monitor the performance, behaviour, and condition of the physical asset. Here is a breakdown of how digital twins are utilized in the realm of wind turbines:
Digital twins integrate data from various sources, including sensors embedded in the wind turbine components, SCADA (Supervisory Control and Data Acquisition) systems, and meteorological data.
Historical and real-time data are used to create a comprehensive understanding of the turbine's operation and environmental conditions.
Computational models are developed to simulate the behaviour of the wind turbine components, such as the rotor blades, gearbox, generator, and control systems.
These models consider factors like wind speed, temperature, and load conditions, providing a virtual representation of how the physical turbine would respond in different scenarios.
Digital twins enable continuous monitoring of the wind turbine's performance, allowing for real-time assessment of its condition.
Predictive analytics algorithms analyse the data to anticipate potential issues or failures, enabling proactive maintenance and minimizing downtime.
The digital twin monitors the condition of critical components, such as gearbox health, bearing wear, and structural integrity.
Anomalies or deviations from expected performance trigger alerts, allowing operators to address issues before they lead to major failures.
By simulating different operational scenarios, digital twins help optimize the performance of wind turbines.
Control strategies, such as pitch and yaw adjustments, can be tested virtually to maximize energy capture and enhance overall efficiency.
By simulating different operational scenarios, digital twins help optimize the performance of wind turbines.
Control strategies, such as pitch and yaw adjustments, can be tested virtually to maximize energy capture and enhance overall efficiency.
Digital twins facilitate remote diagnostics by providing a detailed virtual representation of the turbine's internal components.
Operators and maintenance teams can troubleshoot issues without physical intervention, potentially reducing the need for onsite visits.
Throughout the lifecycle of the wind turbine, the digital twin evolves to incorporate updated design specifications, maintenance records, and performance data.
This long-term perspective aids in decision-making related to upgrades, retrofits, and end-of-life considerations.
Digital twins serve as valuable tools for training purposes, allowing operators and maintenance personnel to familiarize themselves with the turbine's operation and potential challenges in a virtual environment.
Overall, the use of digital twins in Envision wind turbines enhances operational efficiency, reduces maintenance costs, and contributes to the sustainable and reliable generation of wind energy.
Envision Smart Wind Farm solutions provide full life-cycle management, covering wind farm location siting, wind resource assessment, custom engineering design, construction, deployment, and maintenance. Envision’s Smart Wind software helps clients master the operation of wind farms with a high-level of accuracy and transparency.
